A Fast Algorithm for Posterior Inference with Latent Dirichlet Allocation.
Bui Thi-Thanh-XuanVu Van-TuAtsuhiro TakasuKhoat ThanPublished in: ACIIDS (2) (2018)
Keyphrases
- latent dirichlet allocation
- gibbs sampling
- collapsed gibbs sampling
- topic models
- variational inference
- variational bayes
- variational bayesian inference
- generative model
- markov chain monte carlo
- posterior distribution
- topic modeling
- lda model
- probabilistic model
- bayesian inference
- bayesian framework
- latent topics
- gaussian process
- probabilistic latent semantic analysis
- directed graphical models
- text mining
- latent variables
- approximate inference
- probability distribution
- hyperparameters
- markov chain
- bayesian model
- parameter estimation
- generative process
- topic discovery
- bayesian analysis
- probabilistic inference
- dirichlet process
- dimensionality reduction
- probabilistic topic models
- hierarchical bayesian model
- posterior probability
- expectation maximization
- mixture model
- latent topic model
- latent topic models
- bayesian networks